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Reseach Article

A Load Balancing Model based for Cloud Computing using Public Cloud

Published on June 2015 by Pooja Khairnar, Shiva Aher, Samadhan Diwane
National Conference on Recent Trends in Computer Science and Engineering
Foundation of Computer Science USA
MEDHA2015 - Number 4
June 2015
Authors: Pooja Khairnar, Shiva Aher, Samadhan Diwane
164103de-564d-488a-9fae-139a376e5e0e

Pooja Khairnar, Shiva Aher, Samadhan Diwane . A Load Balancing Model based for Cloud Computing using Public Cloud. National Conference on Recent Trends in Computer Science and Engineering. MEDHA2015, 4 (June 2015), 24-26.

@article{
author = { Pooja Khairnar, Shiva Aher, Samadhan Diwane },
title = { A Load Balancing Model based for Cloud Computing using Public Cloud },
journal = { National Conference on Recent Trends in Computer Science and Engineering },
issue_date = { June 2015 },
volume = { MEDHA2015 },
number = { 4 },
month = { June },
year = { 2015 },
issn = 0975-8887,
pages = { 24-26 },
numpages = 3,
url = { /proceedings/medha2015/number4/21451-8063/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National Conference on Recent Trends in Computer Science and Engineering
%A Pooja Khairnar
%A Shiva Aher
%A Samadhan Diwane
%T A Load Balancing Model based for Cloud Computing using Public Cloud
%J National Conference on Recent Trends in Computer Science and Engineering
%@ 0975-8887
%V MEDHA2015
%N 4
%P 24-26
%D 2015
%I International Journal of Computer Applications
Abstract

It is difficult to maintain all the resources and services on single system. So by using Load balancing strategy we distribute load on single system to multiple system providing efficient response to user, resulting in improve user satisfaction. Load balancing in the cloud computing has an important impact on the performance. To improve user satisfaction there is a need of efficient cloud computing for that we need a good load balancing algorithm. This article shows a much better load balance model for the public cloud based on the cloud partitioning concept with a switch mechanism to choose different strategies for different situations. To improve the efficiency in the public cloud this algorithm applies game theory.

References
  1. Tsinghua Science And Technology Issnl L1007-0214l 04/12l Lpp34-39 Volume 18, Number 1, February 2013 Link:ieeexplore. ieee. org/stamp/stamp. jsp?arnumber=6449405
  2. Adler, Load balancing in the cloud: Tools, tips and Tools, tips and techniques, http://www. rightscale. com/infocenter/whitepapers/Load-Balancing-in-the-Cloud. pdf, 2012
  3. Z. Chaczko, Venkatesh Mahadevan, Shahrzad Aslanzadeh, Christopher Mcdermid. "Availability and Load Balancing in Cloud Computing" 2011 International Conference on Computer and Software Modeling.
  4. K. Nishant, P. Sharma, V. Krishna, C. Gupta, K. P. Singh,N. Nitin, and R. Rastogi, Load balancing of nodes in cloud using ant colonyoptimization, in Proc. 14th International Conference on Computer Modeling and Simulation (UKSim), Cambridgeshire, United Kingdom, Mar. 2012, pp. 28-30.
  5. Yunhua Deng, Rynson W. H. Lau, "Heat diffusion based dynamic load balancing for distributed virtual environments", in: Proceedings of the17th ACM Symposium on Virtual Reality Software and Technology, ACM, 2010.
  6. Dhinesh Babu L. D, P. VenkataKrishna, "Honey bee behavior inspired load balancing of tasks in cloud computing environments", Applied Soft Computing 13 (2013)
  7. Martin Randles, David Lamb, A. Taleb-Bendiab, A Comparative Study into Distributed Load Balancing Algorithms for Cloud Computing, 2010 IEEE 24th International Conference on Advanced Information Networking and Applications Workshops.
  8. J. R. Koza, Gentic Programming: On the Programming of Computers by Means of Natural Selection. MIT Press, 1992.
  9. W. Banzhaf, P. Nordin, R. E. Keller, and F. D. Francone, Genetic Programming - An Introduction: On the Automatic Evolution of Computer Programs and Its Applications. Morgan Kaufmann Publishers, 1998.
  10. H. M. de Almeida, M. A. Gonc¸alves, M. Cristo, and P. Calado, "A Combined Component Approach for Finding Collection-Adapted Ranking Functions Based on Genetic Programming," Proc. 30th Ann. Int'l ACM SIGIR Conf. Research and Development in Information Retrieval, pp. 399-406, 2007.
Index Terms

Computer Science
Information Sciences

Keywords

Public Cloud Load Balancing Model Cloud Partition